Linear systems : optimal and robust control
by
Sinha, Alok
.
Publisher: Boca Raton: CRC, 2007Description: 472 p.ISBN: 9780849392177.Subject(s): Control theory | Linear systemsSummary: Balancing rigorous theory with practical applications, Linear Systems: Optimal and Robust Control explains the concepts behind linear systems, optimal control, and robust control and illustrates these concepts with concrete examples and problems. Developed as a two-course book, this self-contained text first discusses linear systems, including controllability, observability, and matrix fraction description. Within this framework, the author develops the ideas of state feedback control and observers. He then examines optimal control, stochastic optimal control, and the lack of robustness of linear quadratic Gaussian (LQG) control. The book subsequently presents robust control techniques and derives H control theory from the first principle, followed by a discussion of the sliding mode control of a linear system. In addition, it shows how a blend of sliding mode control and H methods can enhance the robustness of a linear system. By learning the theories and algorithms as well as exploring the examples in Linear Systems: Optimal and Robust Control , students will be able to better understand and ultimately better manage engineering processes and systems.
| Item type | Location | Call number | Status | Date due | Barcode | Item holds |
|---|---|---|---|---|---|---|
| Books |
Central Library AIOU Islamabad
General Stacks
Allama Iqbal Open UniversityCentral Library |
629.832 SIL (Browse shelf) | Available | 111722 |
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| 629.832 CHL Linear system theory and design | 629.832 DAL Linear control system analysis and design | 629.832 ROB Basic synchros and servomechanisms | 629.832 SIL Linear systems | 629.832 SOP Pole assignment for uncertain systems | 629.832 SUS Switched linear systems | 629.836 ASN Nonlinear and adaptive control with applications |
Hardcover.
Balancing rigorous theory with practical applications, Linear Systems: Optimal and Robust Control explains the concepts behind linear systems, optimal control, and robust control and illustrates these concepts with concrete examples and problems. Developed as a two-course book, this self-contained text first discusses linear systems, including controllability, observability, and matrix fraction description. Within this framework, the author develops the ideas of state feedback control and observers. He then examines optimal control, stochastic optimal control, and the lack of robustness of linear quadratic Gaussian (LQG) control. The book subsequently presents robust control techniques and derives H control theory from the first principle, followed by a discussion of the sliding mode control of a linear system. In addition, it shows how a blend of sliding mode control and H methods can enhance the robustness of a linear system. By learning the theories and algorithms as well as exploring the examples in Linear Systems: Optimal and Robust Control , students will be able to better understand and ultimately better manage engineering processes and systems.
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